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[Oct 15, 2023] AIP-210 Exam Dumps PDF Updated Dump from ValidBraindumps Guaranteed Success [Q35-Q49]

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Pass Your CertNexus Exam with AIP-210 Exam Dumps

CertNexus AIP-210 Exam Syllabus Topics:

Topic	Details
Topic 1	Design machine and deep learning models Explain data collection transformation process in ML workflow
Topic 2	Recognize relative impact of data quality and size to algorithms Engineering Features for Machine Learning
Topic 3	Understanding the Artificial Intelligence Problem Analyze the use cases of ML algorithms to rank them by their success probability
Topic 4	Address business risks, ethical concerns, and related concepts in training and tuning Work with textual, numerical, audio, or video data formats

QUESTION 35
Which of the following are true about the transform-design pattern for a machine learning pipeline? (Select three.) It aims to separate inputs from features.

It encapsulates the processing steps of ML pipelines.

It ensures reproducibility.

It represents steps in the pipeline with a directed acyclic graph (DAG).

It seeks to isolate individual steps of ML pipelines.

It transforms the output data after production.

QUESTION 36
A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?

Cyberprotection

Cybersecurity

Data privacy

Data security

QUESTION 37
R-squared is a statistical measure that:

Combines precision and recall of a classifier into a single metric by taking their harmonic mean.

Expresses the extent to which two variables are linearly related.

Is the proportion of the variance for a dependent variable thaf’ s explained by independent variables.

Represents the extent to which two random variables vary together.

QUESTION 38
Which of the following unsupervised learning models can a bank use for fraud detection?

Anomaly detection

DB5CAN

Hierarchical clustering

k-means

QUESTION 39
Below are three tables: Employees, Departments, and Directors.
Employee_Table

Department_Table

Director_Table
ID
Firstname
Lastname
Age
Salary
DeptJD
4566
Joey
Morin
62
$ 122,000
1
1230
Sam
Clarck
43
$ 95,670
2
9077
Lola
Russell
54
$ 165,700
3
1346
Lily
Cotton
46
$ 156,000
4
2088
Beckett
Good
52
$ 165,000
5
Which SQL query provides the Directors’ Firstname, Lastname, the name of their departments, and the average employee’s salary?

SELECT m.Firstname, m.Lastname, d.Name, AVG(e.Saiary) as Dept_avg_Saiary FROM Employee_Table as e LEFT JOIN Department_Table as d on e.Dept = d.Name LEFT JOIN Directorjable as m on d.ID = m.DeptJD GROUP BY m.Firstname, m.Lastname, d.Name

SELECT m.Firstname, m.Lastname, d.Name, AVG(e.Salary) as Dept_avg_Salary FROM Employee_Table as e RIGHT JOIN Departmentjable as d on e.Dept = d.Name INNER JOIN Directorjable as m on d.ID = m.DeptJD GROUP BY d.Name

SELECT m.Firstname, m.Lastname, d.Name, AVG(e.Salary) as Dept_avg_Salary FROM Employee_Table as e RIGHT JOIN Department_Table as d on e.Dept = d.Name INNER JOIN Directorjable as m on d.ID = m.DeptJD GROUP BY e.Salary

QUESTION 40
Which two of the following criteria are essential for machine learning models to achieve before deployment?
(Select two.)

Complexity

Data size

Explainability

Portability

Scalability

QUESTION 41
Which of the following equations best represent an LI norm?

|x| + |y|

|x|+|y|^2

|x|-|y|

|x|^2+|y|^2

QUESTION 42
Which of the following items should be included in a handover to the end user to enable them to use and run a trained model on their own system? (Select three.)

Information on the folder structure in your local machine

Intermediate data files

Link to a GitHub repository of the codebase

README document

Sample input and output data files

QUESTION 43
Which of the following is the primary purpose of hyperparameter optimization?

Controls the learning process of a given algorithm

Makes models easier to explain to business stakeholders

Improves model interpretability

Increases recall over precision

QUESTION 44
Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?

Data as a Service (DaaS) can host the databases providing backups, clustering, and high availability.

Infrastructure as a Service (IaaS) can provide CPU, memory, disk, network and GPU.

Platform as a Service (PaaS) can provide some services within an application such as payment applications to create efficient results.

Software as a Service (SaaS) can provide AI practitioner data science services such as Jupyter notebooks.

QUESTION 45
You and your team need to process large datasets of images as fast as possible for a machine learning task.
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?

Caffe

Keras

Microsoft Cognitive Services

TensorBoard

QUESTION 46
Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?

Asset

Code Repository

Configuration Management

Incident

QUESTION 47
An AI practitioner incorporates risk considerations into a deployment plan and decides to log and store historical predictions for potential, future access requests.
Which ethical principle is this an example of?

Fairness

Privacy

Safety

Transparency

QUESTION 48
Which of the following methods can be used to rebalance a dataset using the rebalance design pattern?

Bagging

Boosting

Stacking

Weighted class

QUESTION 49
Which of the following metrics is being captured when performing principal component analysis?

Kurtosis

Missingness

Skewness

Variance

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